White-Nose Syndrome Disease Severity and a Comparison of Diagnostic Methods


Material Information

White-Nose Syndrome Disease Severity and a Comparison of Diagnostic Methods
Series Title:
McGuire, Liam P.
Turner, James M.
Warnecke, Lisa
McGregor, Glenna
Bollinger, Trent K.
Misra, Vikram et al
Publication Date:


Subjects / Keywords:
Blood Chemistry ( local )
Histopathology ( local )
Myotis Lucifugus ( local )
Non-Destructive Methods ( local )
Pcr ( local )
Pseudogymnoascus Destructans ( local )
Ultraviolet Fluorescence ( local )
serial ( sobekcm )


White-nose syndrome is caused by the fungus Pseudogymnoascus destructans and has killed millions of hibernating bats in North America but the pathophysiology of the disease remains poorly understood. Our objectives were to (1) assess non-destructive diagnostic methods for P. destructans infection compared to histopathology, the current gold-standard, and (2) to evaluate potential metrics of disease severity. We used data from three captive inoculation experiments involving 181 little brown bats (Myotis lucifugus) to compare histopathology, quantitative PCR (qPCR), and ultraviolet fluorescence as diagnostic methods of P. destructans infection. To assess disease severity, we considered two histology metrics (wing area with fungal hyphae, area of dermal necrosis), P. destructans fungal load (qPCR), ultraviolet fluorescence, and blood chemistry (hematocrit, sodium, glucose, pCO2, and bicarbonate). Quantitative PCR was most effective for early detection of P. destructans, while all three methods were comparable in severe infections. Correlations among hyphae and necrosis scores, qPCR, ultraviolet fluorescence, blood chemistry, and hibernation duration indicate a multi-stage pattern of disease. Disruptions of homeostasis occurred rapidly in late hibernation. Our results provide valuable information about the use of non-destructive techniques for monitoring, and provide novel insight into the pathophysiology of white-nose syndrome, with implications for developing and implementing potential mitigation strategies.
Original Version:
EcoHealth, Vol. 13, no. 1 (2016-03-08).

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